So Yeon Won;Yae Won Park;Mina Park;Sung Soo Ahn;Jinna Kim;Seung-Koo Lee
Korean Journal of Radiology
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v.21
no.12
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pp.1345-1354
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2020
Objective: To evaluate radiomics analysis in studies on mild cognitive impairment (MCI) and Alzheimer's disease (AD) using a radiomics quality score (RQS) system to establish a roadmap for further improvement in clinical use. Materials and Methods: PubMed MEDLINE and EMBASE were searched using the terms 'cognitive impairment' or 'Alzheimer' or 'dementia' and 'radiomic' or 'texture' or 'radiogenomic' for articles published until March 2020. From 258 articles, 26 relevant original research articles were selected. Two neuroradiologists assessed the quality of the methodology according to the RQS. Adherence rates for the following six key domains were evaluated: image protocol and reproducibility, feature reduction and validation, biologic/clinical utility, performance index, high level of evidence, and open science. Results: The hippocampus was the most frequently analyzed (46.2%) anatomical structure. Of the 26 studies, 16 (61.5%) used an open source database (14 from Alzheimer's Disease Neuroimaging Initiative and 2 from Open Access Series of Imaging Studies). The mean RQS was 3.6 out of 36 (9.9%), and the basic adherence rate was 27.6%. Only one study (3.8%) performed external validation. The adherence rate was relatively high for reporting the imaging protocol (96.2%), multiple segmentation (76.9%), discrimination statistics (69.2%), and open science and data (65.4%) but low for conducting test-retest analysis (7.7%) and biologic correlation (3.8%). None of the studies stated potential clinical utility, conducted a phantom study, performed cut-off analysis or calibration statistics, was a prospective study, or conducted cost-effectiveness analysis, resulting in a low level of evidence. Conclusion: The quality of radiomics reporting in MCI and AD studies is suboptimal. Validation is necessary using external dataset, and improvements need to be made to feature reproducibility, feature selection, clinical utility, model performance index, and pursuits of a higher level of evidence.
To investigate how personality test items are understood by participants, their semantic representations were explored by Latent Semantic Analysis, In this thesis, Semantic Similarity Matrix was proposed, which contains cosine similarity of semantic representations between test items and personality traits. The matrix was compared to traditional factor loading matrix. In preliminary study, semantic space was constructed from the passages describing the five traits, collected from 154 undergraduate participants. In study 1, positive correlation was observed between the factor loading matrix of Korean shorten BFI and its semantic similarity matrix. In study 2, short personality test was constructed from semantic similarity matrix, and observed that its factor loading matrix was positively correlated with the semantic similarity matrix as well. In conclusion, the results implies that the factor structure of personality test can be inferred from semantic similarity between the items and factors.
Drosophila melanogaster (fruits fly) is a representative model system widely used in biological studies because its brain function and basic cellular processes are similar to human beings. The whole head of the fly is often used to obtain the key function in brain-related diseases like degenerative brain diseases; however the biomolecular distribution of the head may be slightly different from that of a brain. Herein, lipid profiles of the head and dissected brain samples of Drosophila were studied using electrospray ionization-mass spectrometry (ESI-MS). According to the sample types, the detection of phospholipid ions was suppressed by triacylglycerol (TAG), or the specific phospholipid signals that are absent in the mass spectrum were measured. The lipid distribution was found to be different in the wild-type and the microRNA-14 deficiency model ($miR-14{\Delta}^1$) with abnormal lipid metabolism. A few phospholipids were also profiled by comparison of the head and the brain in two fly model systems. The mass spectra showed that the phospholipid distributions in the $miR-14{\Delta}^1$ model and the wild-type were different, and principal component analysis revealed a correlation between some phospholipids (phosphatidylethanolamine (PE), phosphatidylinositol (PI), and phosphatidylserine (PS)) in $miR-14{\Delta}^1$. The overall results suggested that brain-related lipids should be profiled using fly samples after dissection for more accurate analysis.
This paper presents a new approach to describing the meanings of English relative clauses with the theoretical framework of Conceptual Structure Theory (henceforth CST)which builds on the pionerring work of Sowa.And this paper aims at proposing some extensions to his work. CST describes the conceptual structrures of sentences with conceptual graphs(henceforth CG). which have begun to be used as an intermediate language in natural language processing and machine translation of computer.CGs are composed of concept types and conceptual relation types. They are a system of logic for semantic representation of sentences. This paper focuses on showing the differences of the CGs according to the functions of English relative clauses. English relative clauses are divided into restrictive and nonrestrictive uses.And this paper describes a restrictive clause with a CG including a expression.which derives from the viewpoint of Montague-semantics and Nom-S Analysis.This paper deals mainly with the relative clauses of double restroction as an example of restrictive relative clauses.The description of a nonrestrictive relative clause does not need any-expression, for it doesn's involve the meaning of set.And this paper links the CG of an appositive relative clause,which is a kind of nonrestrictive clauses,to the concept of the antecedent in the main clause.The description of a nonrestrictive relative clause with adverbial meaning is strated with two CGs for the main clause and the relative clause.They are linked with an appropriate intersentential conceptual relation type according to the contextual realtions between them.This paper also presents a CG of a sentential relative clause,which gives a comment on the main clause.
This study explores children's categories of emotion understanding from facial expressions onto two dimensional structure of emotion. Children of 89 from 3 to 5 years old were required to those facial expressions related the fourteen emotion terms. Facial expressions applied for experiment are used the photographs rated the degree of expression in each of the two dimensions (pleasure-displeasure dimension and arousal-sleep dimension) on a nine-point scale from 54 university students. The experimental results showed that children indicated the greater stability in arousal dimension than stability in pleasure-displeasure dimension. Emotions about sadness, sleepiness, anger and surprise onto two dimensions was understand very well, but emotions about fear, boredom were showed instability in pleasure-displeasure dimension. Specifically, 3 years old children indicated highly the perception in a degree of arousal-sleep than perception of pleasure-displeasure.
Social relations and cognitive function in old age are closely related to each other, and social relation is classified into structural characteristics and qualitative characteristics reflecting cognitive and emotional evaluation. The concept of social isolation is the focus of attention in relation to the social relations of old age. Social isolation has a multidimensional theoretical structure that is divided into objective dimension such as social network, type of furniture, social participation, and subjective dimension such as lack of perceived social support and loneliness. There is also a close relationship between cognitive function and interpersonal conflict in old age. In this study, we examined the effect of subjective social isolation, which shows the structural characteristics of social relations, and subjective social isolation and interpersonal conflict on the dementia occurrence by age group in the elderly. The data were analyzed by applying a random effect panel logit model using 1,740 panel data from the first year to the third year of KSHAP. The results of the analysis are summarized as follows. First, the cognitive impairment increased sharply with age. Objective and subjective social isolation were both U-shaped distribution with an inflection point of 80 years old. Second, the main effect on the probability of cognitive impairment was statistically significant with objective and subjective social isolation, but the type of interpersonal conflict did not appear to be significant. Third, the results of two-way interaction effect analysis on the probability of cognitive impairment are as follows. The relationship between subjective social isolation and the probability of occurrence of cognitive impairment was significantly different according to the level of conflict with spouse. In addition, the higher the subjective social isolation, the higher the probability of cognitive impairment in the elderly(over 85) than in the young-old(65~74). In addition, as the level of conflict with spouses increases, the probability of cognitive impairment of the oldest-old(aged 85 or older) is drastically lower than that of the young-old(aged 65~74). Based on the results of this study, policy and practical implications for reducing the cognitive impairment of the elderly age group were suggested, and limitations of the study and suggestions for future research were discussed.
Background: Oral health is an important element of well aging. And oral health also affects overall health, mental health, and quality of life. In this study, we sought to identify oral health influencing factors and research trends for well-aging through text analysis of research on well-aging and oral health over the past 12 years. Methods: The research data was analyzed based on English literature published in PubMed from 2012 to 2023. Aging well and oral health were used as search terms, and 115 final papers were selected. Network text analysis included keyword frequency analysis, centrality analysis, and cohesion structure analysis using the Net-Miner 4.0 program. Results: Excluding general characteristics, the most frequent keywords in 115 articles, 520 keywords (Mesh terms) were psychology, dental prosthesis and Alzheimer's disease, Dental caries, cognition, cognitive dysfunction, and bacteria. Research keywords with high degree centrality were Dental caries (0.864), Quality of life (0.833), Tooth loss (0.818), Health status (0.727), and Life expectancy (0.712). As a result of community analysis, it consisted of 4 groups. Group 1 consisted of chewing and nutrition, Group 2 consisted oral diseases, systemic diseases and management, Group 3 consisted oral health and mental health, Group 4 consisted oral frailty symptoms and quality of life. Conclusion: In an aging society, oral dysfunction affects mental health and quality of life. Preventing oral diseases for well-aging can have a positive impact on mental health and quality of life. Therefore, efforts are needed to prevent oral frailty in a super-aging society by developing and educating systematic oral care programs for each life cycle.
There are many researches about effects of consumer innovativeness on the new product adoption behavior. However most of these studies regard this construct as one dimensional concept so that the extant studies suggest very ambiguous results about the relationship between consumer innovativeness and adoption behavior. This study subdivides the construct as cognitive innovativeness and sensory one and suggest these two types of consumer innovativeness affect on the risk perception of the potential adopter differently when the consumer adopt new product. In the empirical research through regression analysis and structure equation model with 217 samples, the study shows the consumer who have high level of cognitive innovativeness are more sensitive to functional risk of new products compared to one who have high level of sensory innovativeness. On the other side, sensory innovative consumer perceive social risk more when they adopt new products than cognitive innovator who have higher level of cognitive innovativeness. The result means there are dual paths on the relationship between consumer innovativeness and new products adoption behavior. Unlike the early studies, this study shows that there's dual path in relationship between the consumer's innovativeness and new product adoption. That is the consumer who have higher sensory innovativeness perceive the social risk of new products more sensitively than functional risk but the consumer who have cognitive innovativeness perceive functional risk more. So, new product adoption behavior would be different depending on the sensory or cognitive innovativeness.
Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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v.6
no.10
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pp.549-564
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2016
Due to high cost of domestic production structure, steep growth of China's manufacturing business, and increase in oversea's production, building integrated system to support user-centered product design system based on cognitive and affective information is required to restore development of domestic manufacturing business. This paper put purpose on analysing requirements of end users, especially on information equipment business which works as a major industry in manufacturing businesses, and planning system design direction, prior to constructing user-centered product design support system based on cognitive and affective information. Research was conducted to identify current manufacturing process, application data on manufacturing, availability of cognitive and affective information data and its method of use, and necessity of user-centered product design support system based on cognitive and affective information, by carrying out in-depth interview with 6 related manufacturing companies. Need for user's character information was deducted from the interview, especially cognitive and affective information which is demanding for small to medium manufacturing business to research on its own.
The study of home injury and injury prevention has been a neglected area of research and practice. This study has the following purposes: 1) to describe the pattern of home injuries; 2) to analyze the differences in injuries by social characteristics; and 3) to compare the impact of safety structure and action. The data were collected by person-to-person interviews with 450 residents living in Wonju area. The statistical methods used for the analysis were $\chi$2-test and multiple logistic regression. The results are as follows: 1) Whether or not a certain injury has occurred varies by household type. The elderly household reported more injuries than other types of household. 2) Using logistic regression method, we found that safety-related behavioral habit was statistically significant in predicting injury occurrence. However, residence type was not a statistically significant variable. This indicates that cognitive change strategy is more important than structural change strategy.
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